Mr Porter
www.mrporter.comLast scanned Jun 20, 2026, 6:20 AM
Verdict
Open to AI agents
ARC Score v1.0
42/100Mixed
Agent access27.8/50
Structured data4/25
Protocol files9/15
Scan stability1.1/10
Agent access
| Agent | Status | Source |
|---|---|---|
| GPTBot | Unknown | inconclusive |
| ChatGPT-User | Unknown | inconclusive |
| ClaudeBot | Unknown | inconclusive |
| Claude-Web | Allowed | robots.txt: no rule (default allow) |
| PerplexityBot | Unknown | inconclusive |
| Google-Extended | Unknown | inconclusive |
| Amazonbot | Unknown | inconclusive |
| Bingbot | Unknown | inconclusive |
| CCBot | Unknown | inconclusive |
Infrastructure
PlatformcustomCDN—WAFnone
Data signals
- JSON-LDNot detected
- Schema.org ProductNot detected
- Open GraphNo
- Product feedNo
- llms.txtYes
Change history · last 90 days
0 changesNo confirmed changes in the last 90 days — this brand's agent access posture has been stable.
The free public window is 90 days. Multi-year history, watchlists, and change alerts are part of Pro.
Fix it with Claude Code
Each failed check below has a ready-made prompt tailored to this scan's findings. Run it in Claude Code from your site's repository.
✗No JSON-LD structured datashow prompt
My e-commerce site is mrporter.com. A scan found no JSON-LD structured data at all, so AI shopping agents can't reliably read our product names, prices, availability, or images. In this repository: 1. Find the product page template/component and add a JSON-LD <script type="application/ld+json"> block with Schema.org Product markup: name, description, image, sku, brand, and an Offer with price, priceCurrency, availability (use schema.org/InStock | OutOfStock), and url. Populate every field from our real product data — no placeholders. 2. Add an Organization JSON-LD block to the base layout (name, url, logo) if missing. 3. If we have category/listing pages, add ItemList markup referencing the product URLs. 4. Show me one fully rendered example of the JSON-LD for a real product, then validate the shape against Google's Rich Results requirements for Product and fix any warnings you can detect statically. Verify after deploy with https://search.google.com/test/rich-results on a product URL.
✗No Open Graph tagsshow prompt
My e-commerce site is mrporter.com. A scan found no Open Graph meta tags, so link previews and many AI agents see untitled, imageless pages. In this repository: 1. Add og:title, og:description, og:image, og:url, and og:type to the base layout's <head>, with sensible site-wide defaults. 2. On product pages, override them per product: og:type "product", the product image as og:image (absolute URL, ≥1200×630 where available), and the live price in og:description. 3. Add twitter:card "summary_large_image" alongside. 4. Show me the diff and one rendered <head> for a real product page.
✗No machine-readable product feedshow prompt
My e-commerce site is mrporter.com. A scan found no machine-readable product feed, which feed-based AI shopping agents (ChatGPT Shopping, Klarna, Google AI Mode) rely on. In this repository: 1. Determine where product data lives (database models, CMS, platform API) and add a product feed endpoint — Google Merchant–compatible XML (RSS 2.0 with the g: namespace) at /feeds/products.xml, or JSON if that's more idiomatic here. 2. Include per item: id, title, description, link, image_link, price with currency, availability, brand, and gtin/mpn when we have them. 3. Paginate or stream if the catalog is large; cache for ~1 hour. 4. Link the feed from robots.txt or a <link rel="alternate"> in the layout, show me the diff, and print the first two feed items rendered from real data.
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